COLDSELECT jointly selects annotation instances and verbalizer tokens in cold-start prompt-based classification by clustering shared embeddings and greedily minimizing cluster impurity.
In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers)
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Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios
COLDSELECT jointly selects annotation instances and verbalizer tokens in cold-start prompt-based classification by clustering shared embeddings and greedily minimizing cluster impurity.